# Head of Capability Development - Home & Service at Humanoid

- Company: Humanoid
- What the company does: Humanoid creates advanced humanoid robots that integrate seamlessly into daily life, enhancing human potential. Learn more about our mission and vision.
- Company website: https://thehumanoid.ai
- Type: Startups (AI role)
- Level: Principal and up
- Location: US, San Diego, CA
- Work setup: On-site
- Posted: 2026-09-23
- Apply by: 2026-11-07
- Apply: https://jobs.ashbyhq.com/humanoid/40787896-1d68-4a6b-ba02-a4186c9325d8
- Page: https://www.1752.vc/careers/jobs/humanoid-head-of-capability-development-home-and-service/

## About the role

As Head of Capability Development at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos.

## What they're looking for

- 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware
- Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline
- Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work
- Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL
- Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data
- Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX

Tags: Engineering